AI前沿：从慢思考到高效推理

本期《TAI快报》聚焦AI“思考”艺术，深入探讨了五项前沿研究：1.《Reward Reasoning Model》提出AI在评价前先“思考”，通过思维链提升复杂任务准确性。2.《Reasoning Models Better Express Their Confidence》揭示“慢思考”让AI更准确表达信心，提升可靠性。3.《Think Only When You Need with Large Hybrid-Reasoning Models》介绍按需思考模型，兼顾效率与性能。4.《Do Language Models Use Their Depth Efficiently?》质疑AI深度利用效率，启发更智能架构设计。5.《A*-Decoding: Token-Efficient Inference Scaling》通过搜索算法让小模型媲美大模型，资源效率惊人。完整推介：https://mp.weixin.qq.com/s/IuvehOzw6CcpE96yd3oSqw

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